Building-ML-Pipelines-Notes

Preface

Table of Contents

• About the Repository
• Installation and Setup
• Citing
• License

About the Repository

Skip Directly to the Chapter's Notebooks:

• Chapter 2: Introduction to TensorFlow Extended
• Chapter 3: Data Ingestion
• Chapter 4: Data Validation
• Chapter 5: Data Preprocessing
• Chapter 6: Model Training
• Chapter 7: Model Analysis and Validation
• Chapter 8: Model Deployment with TensorFlow Serving
• Chapter 9: Advanced Model Deployments with TensorFlow Serving
• Chapter 10: Advanced TensorFlow Extended
• Chapter 11: Pipelines Part 1: Apache Beam and Apache Airflow
• Chapter 12: Pipelines Part 2: Kubeflow Pipelines
• Chapter 13: Feedback Loops
• Chapter 14

Installation and Setup

Clone the repo

$ git clone https://github.com/JanMarcelKezmann/Building-ML-Pipelines-Notes

Install requirements

pip install --upgrade -r requirements.txt

Make sure you have the following installed:

• Python 3.6 or 3.7
• tensorflow >= 2.3.0
• tfx >= 0.24.0
• tensorboard_plugin_fairness_indicators >= 0.24.0
• tensorflow_hub >= 0.9.0
• tensorflow_privacy >= 0.5.1
• pandas >= 1.1.2
• witwidget >= 1.17.0
• apache-beam >= 2.24.0
• google-cloud-core >= 1.4.2

Citing

@misc{Kezmann:2020,
  Author = {Jan-Marcel Kezmann},
  Title = {YourCookBook},
  Year = {2020},
  Publisher = {GitHub},
  Journal = {GitHub repository},
  Howpublished = {\url{https://github.com/JanMarcelKezmann/Building-ML-Pipelines-Notes}}
}

License

Project is distributed under MIT License.